Microsoft Azure AI Fundamentals Certification Exam AI-900 Practice Test 1

Q. Which action can be performed using Azure AI Vision service?

Extracting key phrases from documents
Creating thumbnails for training videos
Extracting data from handwritten letters
Identifying breeds of animals in a live video stream
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Q. In Azure AI Foundry, which feature allows you to reuse a pre-trained model and customize it without starting training from scratch?

Azure AI Search
Model Catalog
Prompt Flow
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Q. What should you do to ensure an Azure OpenAI model provides accurate answers that include recent or up-to-date information?

Modify the system message
Add few-shot examples
Add grounding data
Retrain the model
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Q. Blocking harmful or offensive content in a chat application aligns with which Microsoft Responsible AI principle?

Fairness
Transparency
Accountability
Privacy and Security
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Q. Statement: You can fine-tune some Azure OpenAI models using your own data.

Yes
No
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Q. Which two actions can be performed using the Azure OpenAI DALL·E model?

Detect objects in images
Create images from text descriptions
Use OCR on documents
Modify existing images
Generate image captions
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Q. Statement: Transformer model architecture includes encoder–decoder blocks.

Yes
No
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Q. Statement: Transformer model architecture uses self-attention.

Yes
No
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Q. Counting the number of animals in an area based on a video feed is an example of which AI workload?

Knowledge mining
Forecasting
Computer vision
Natural language processing
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Q. Statement: Natural language processing can be used to classify email messages as work-related or personal.

Yes
No
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Q. What need can be addressed by using sentiment analysis?

Transcribing a marketing presentation into text
Extracting brand information from documents
Analyzing social media for a brand
Finding brand names in documents
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Q. Which two types of data inputs can natural language processing (NLP) workloads handle?

A static PNG file
A text document
An audio stream
A static BMP file
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Q. Which two scenarios are governed by the accountability principle in responsible AI?

Treating people fairly
Following a governance framework
Meeting ethical standards
Keeping personal details private
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Q. Which responsible AI principle focuses on reducing bias in a machine learning model?

Transparency
Accountability
Fairness
Inclusiveness
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Q. Which responsible AI principle mandates rigorous testing of an AI-based application to mitigate potential risks to human life?

Inclusiveness
Accountability
Reliability and Safety
Fairness
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Q. Which scenario exemplifies a knowledge mining workload?

Enabling a voice assistant in a travel booking app
Identifying spoken languages in multilingual audio files
Gaining insight into potential liabilities from unstructured contract documents
Identifying commercial brands in published video files
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Q. Which two guiding principles are included in Microsofts approach to responsible AI?

Secure Adaptive Access
Inclusiveness
Simplified Identity Governance
Reliability and Safety
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Q. Identify an example of a computer vision task.

Translating text from Korean to English in real time
Transcribing speech in a call center
Detecting anomalies in credit card transactions
Classifying crops in images captured by a drone
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Q. For each statement, choose Yes if true, otherwise No:

a. Computer vision can be used to transcribe video conference calls.

b. Computer vision can be used to extract printed text from photos.

c. Computer vision can be used to detect people in a security camera video stream.

Yes, Yes, No
No, Yes, Yes
Yes, No, Yes
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Q. For each statement, choose Yes if true, otherwise No:

a. Key phrase extraction performs better on smaller amounts of text.

b. Sentiment analysis performs better on smaller amounts of text.

c. Speech Synthesis Markup Language (SSML) is based on JSON.

Yes, No, Yes
Yes, Yes, No
No, Yes, No
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Q. Which responsible AI principle is demonstrated when an HR system screens job candidates without considering age, gender, ethnicity, or physical abilities?

Transparency
Accountability
Inclusiveness
Fairness
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Q. Which responsible AI principle focuses on ensuring users are fully informed about the limitations of AI-based systems?

Inclusiveness
Accountability
Transparency
Fairness
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Q. For each statement, choose Yes if true, otherwise No:

a. According to fairness, AI solutions should treat all people equally.

b. According to inclusiveness, AI solutions should empower everyone and engage people.

c. According to accountability, AI solutions themselves should be legally liable for their actions.

Yes, No, Yes
No, No, Yes
Yes, Yes, No
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Q. For each statement, choose Yes if true, otherwise No:

a. Inclusiveness means AI should benefit all members of society.

b. Inclusiveness means making users aware of system limitations.

c. Inclusiveness includes empowering and engaging all communities.

No, No, Yes
Yes, Yes, No
Yes, No, Yes
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Q. Which situation is an example of computer vision?

Translating commands into actions
Discovering financial fraud
Detecting abnormalities in health scans
Finding answers to customer questions
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Q. Which NLP workload is demonstrated when an AI system analyzes customer feedback and labels it as positive, neutral, or negative?

Named entity recognition
Speech translation
Speech synthesis
Sentiment analysis
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Q. Match the responsible AI principle to the objective: Protect personal information.

Transparency
Accountability
Fairness
Privacy and Security
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Q. Match the responsible AI principle to the objective: Quantify risk and harm to human life.

Transparency
Privacy and Security
Fairness
Reliability and Safety
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Q. Match the responsible AI principle to the objective: Gain trust from users.

Reliability and safety
Fairness
Transparency
Privacy and security
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Q. Which responsible AI principle is demonstrated by a company performing extensive testing and controlled deployment of a driverless taxi system?

Inclusiveness
Transparency
Accountability
Reliability and safety
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Q. What technology enables interactions between computers and humans using text and speech?

Machine learning
Computer vision
Augmented reality
Natural Language Processing (NLP)
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Q. Match the AI workload to the objective: Applications that interpret visual input from images.

Conversational AI
Natural language processing
Forecasting
Computer vision
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Q. Match the AI workload to the objective: Applications that interpret written text.

Conversational AI
Computer vision
Forecasting
Natural language processing
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Q. What type of NLP solution is demonstrated when a robotic system uses a synthesized neural voice to speak?

Speech to text
Sentiment analysis
Key phrase extraction
Text to speech
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Q. Which machine learning method is used to group data points that share similar characteristics?

Classification
Dimensionality reduction
Regression
Clustering
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Q. In which two situations can you use Azure AI Document Intelligence?

Translate a form from French to English
Find product images in a catalog
Extract an invoice number from an invoice
Identify the retailer from a receipt
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Q. Which AI workload should be used to build a recycling machine that recognizes bottles by shape and rejects other items?

Natural language processing
Conversational AI
Anomaly detection
Computer vision
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Q. Which scenario best represents a generative AI workload?

Predicting stock prices from historical data
Classifying images into categories
Recommending products based on purchase history
Generating a brand-new image from a text description
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Q. Which ethical AI principle is demonstrated when a bank clearly explains how its AI system approves mortgage applications and what factors it considers?

Accountability
Inclusiveness
Transparency
Fairness
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Q. Which two situations exemplify document intelligence workloads?

Generation of Python code from requirements
Extraction of contact details from scanned business cards
Translation of documents between languages
Classification of provided contract files
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